Mike shares knowledge across multiple formats including TEDx talks, fireside chats, webinars, and masterclasses. Access these resources to learn frameworks for building innovation capability, navigating disruptive change, and developing transformational leadership skills.
Date: Aug 1, 2026
As AI agents consume exponential tokens, companies face exploding costs. This memo explores how Uber and Tesla capped spending, why open-weight models like Qwen are gaining adoption, and how model sourcing is becoming a strategic decision shaped by government policy.
Date: Jul 1, 2026
Google launched Spark, a 24/7 cloud-based AI agent that manages workflows autonomously. We examine how always-on agents shift from tools to “AI employees,” the governance and autonomy challenges they create, and what business leaders must do before scaling.
Date: Jun 1, 2026
OpenAI transformed Codex into an agentic super-app with computer control and mobile access. This memo explores how token economics are reshaping AI costs, why flat-rate pricing is ending, and the architectural decisions leaders must make to manage expenses.
Date: May 1, 2026
OpenClaw proved persistent AI agents could work autonomously, becoming GitHub’s fastest-growing project. However, security risks made it unsuitable for enterprises. This memo explores why Claude Cowork Dispatch represents the business-ready evolution of agentic AI.
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Mike Grandinetti is a globally recognized expert in corporate innovation, disruptive business model innovation, AI, and entrepreneurship. He is an Executive Fellow at Harvard Business School and faculty at Brown University's School of Engineering. He teaches executive education at Brown, Columbia, Cornell, Carnegie Mellon. Oxford, NYU Abu Dhabi, Babson College, and Harvard Professional and Executive Development.
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